Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach

Chen, P.; Chankov, Stanislav

doi:10.1109/ieem.2017.8290097

Cited by 40 publications

(22 citation statements)

References 3 publications

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“…Crowdsourcing has been used for many different applications, from problem solving and various urban sensing tasks to the last-mile delivery [10]. Some papers also recognized the crowdsourced logistics as a specific kind of spatial crowdsourcing tasks [15], [23].…”

Section: Related Workmentioning

confidence: 99%

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

Chen

Yang

Wang

et al. 2022

IEEE Trans. Big Data

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Most of current urban logistic systems fail to strike a nice trade-off between speed and cost. An express logistic service often implies a high delivery cost. Crowdsourced logistics is a promising solution to alleviating such contradiction. In this paper, we propose a new form of crowdsourced logistics that organizes passengers and packages in a shared room, i.e., using taxis that are already transporting passengers as package hitchhikers to achieve on-time deliveries. It is well-recognized that taxi drivers are good at delivering passengers to their destinations efficiently. As a result, the proposed new urban logistics system has potentials to lower the cost and accelerate package deliveries simultaneously. Specifically, we propose a probabilistic framework containing two phases called CrowdExpress for the on-time package express service. In the first phase, we mine the historical taxi GPS trajectory data offline to build the package transport network. In the second phase, we develop an online taxi scheduling algorithm to adaptively discover the path with the maximum arriving-ontime probability "on-the-fly" upon real-time passenger-sending requests, and direct the package routing accordingly. Finally, we evaluate the system using the real-world taxi data generated by over 19,000 taxis in a month in the city of New York, US. Results show that around 9,500 packages can be successfully delivered daily on time with the success rate over 94%.

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Section: Related Workmentioning

confidence: 99%

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

Chen

Yang

Wang

et al. 2022

IEEE Trans. Big Data

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“…When using interview and survey methods, frequently asked questions include willingness to become a courier [44,45], route [34], the amount of remuneration for work performed [37], the maximum deviation (both in time and distance) that the respondent would take for consent and rejection of the package [19,35].…”

Section: Supply Assessmentmentioning

confidence: 99%

Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia

Galkin

Schlosser

Cárdenas³

et al. 2021

Sustainability

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The article studies the development of crowd shipping technologies in the Old Town of Bratislava. The paper aims to assess the potential for implementation of the crowdsourcing technology in the transport system of Bratislava. Methodology: An interview with the entrepreneurs in this area was conducted to assess the potential demand. In the survey, we collected information about type of goods; operations, quantities, and frequency of delivery; willingness to pay for one delivery among others. Based on the results, the freight demand, and its characteristics were assessed. The second part of the paper is devoted to assessing the supply of logistics to meet the demand. A survey of the willingness of ordinary travelers to work as an occasional courier was conducted. In the end, the equilibrium of demand and supply in the crowd shipping market in Bratislava is presented. The regression and correlation analysis were performed to understand the relationship between parameters of demand and delivery quantities in the first part of the research, sociodemographic characteristics of nonprofessional couriers, and the maximum weight of the parcel nonprofessional couriers agree to delivery. The willingness to pay per delivery was determined for respondents of different genders. Key findings: The results of the survey allowed us to estimate the freight demand for the Old Town of Bratislava, as well as to understand the needs of potential demand for crowd shipping services. The results of the second questionnaire show the sociodemographic characteristics of nonprofessional couriers (age, gender, gender, income, travel time) significantly influence the decision to participate in the delivery market.

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“…Several urgent problems need to be resolved, such as determining the factors that affect the implementation of crowd logistics, and knowing how to stimulate their implementation. If these issues are solved, they will promote the sustainable development of crowd logistics in cities [9,10] and improve the conditions of lastmile delivery [11]. To provide some understanding on these important issues, this study develops a technologyorganization-environment (TOE) model to explore the influencing factors of enterprises' willingness to implement crowd logistics and implements an empirical test on logistic enterprises.…”

Section: Introductionmentioning

confidence: 99%

Crowd-Sourcing a Way to Sustainable Urban Logistics: What Factors Influence Enterprises’ Willingness to Implement Crowd Logistics?

et al. 2020

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The sharing economy has brought new opportunities to the logistics industry, which has created an emerging trend known as crowd logistics. Implementing this mode offers a basis for more sustainable urban logistics, but there is limited research on what leads enterprises to adopt crowd logistics. Based on the technology-organization-environment (TOE) theoretical model, this paper developed a model to study the influencing factors of enterprises' willingness to implement crowd logistics. The data were collected through questionnaire surveys, SPSS and AMOS were used for data analysis. The empirical results showed that the relative advantage, absorptive capacity, market environment, and external motivations have significant positive impact on the company's willingness to implement crowd logistics, while complexity and resources have no significant impact. Crowd logistics offers an important route to more sustainable urban logistics. Logistics enterprises should take measured steps when implementing crowd logistics, improve their absorptive capacity, and take necessary precautions towards minimizing the risks of crowd logistics.

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Crowdsourced delivery for last-mile distribution: An agent-based modelling and simulation approach

Cited by 40 publications

References 3 publications

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia

Crowd-Sourcing a Way to Sustainable Urban Logistics: What Factors Influence Enterprises’ Willingness to Implement Crowd Logistics?

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